Centene is transforming the health of its communities, and this role is responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation and outcomes.
Requirements
- data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
- Experience with database technologies, including Oracle, Teradata, MS SQL Server, MySQL.
- Power BI (DAX, M-Code, Power BI Service)
- Experience with claims data, claims systems and post-pay audits
- SAS
- R
Responsibilities
- Design and develop data models to predict member outcomes or future impact of key member decisions.
- Design and construct analysis tools that extract, and analyze data and store analytical results in an appropriate format for business needs.
- Conduct exploratory data analysis from complex data sources and build key data sets to support Centene’s mission.
- Evaluate and design experiments to monitor key metrics and identify improvement opportunities.
- Develop mathematical and statistical models to distinguish relevant content or events and recognize patterns.
- Validate and measure the outcomes of health management programs using SAS, R and other tools, to include provider data, claims data, membership data
- Participate in the design of automated, operational analytics processes to achieve scale and durability of analysis processes.
Other
- Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 3+ years of experience or Bachelor’s degree and 5+ years of quantitative analysis experience
- Participate in presentations and communicate results of analysis and findings.
- Assist with training Data Analysts.
- Manage multiple projects as assigned.
- flexible approach to work with remote, hybrid, field or office work schedules.
